Karachi Fleet Optimizer
Vertex AI 
Python The Urban Logistics Problem
Logistics operations in chaotic urban environments frequently suffer from severe routing inefficiencies. Manual dispatching leads to overlapping vehicle paths, backtracking, and a failure to meet strict delivery time windows. This results in inflated fuel consumption, excessive vehicle wear-and-tear, and massive bleeds in capital.
The Mathematical & AI Solution
The platform removes human guesswork through a dual-engine approach deployed on Google Cloud Run, calculating absolute minimal-distance street routes using OSRM.
Parses standard CSV manifests (Demand_KG, Service_Time, Time_Windows) directly from any existing CRM or order management system.
Calculates absolute minimal-distance routes utilizing OSRM to navigate physical street geometries and real-world traffic directions.
Vertex AI translates operational telemetry into high-level financial insights, calculating exact fuel costs and capital savings in real-time.
Field Execution Portal
Optimized routes are instantly pushed to the mobile Driver Portal. Drivers receive their mathematically sequenced stops, localized safety warnings via Vertex AI, and submit live Proof of Delivery (POD) directly back to the manager's command center.
Executive Analytics
A dedicated dashboard for high-level stakeholders to view top-down metrics on total system efficiency. It actively tracks historical fuel consumption trends and measures the exact capital recovered daily by the optimization engine.
